Climate Risk Analyst

FM is seeking a Climate Risk Analyst intern in Norwood, MA, to work on tornado loss data analysis and GIS database creation. The role involves research on tornado insurance losses, data analysis, and visualization using ArcGIS and Python. Candidates should be motivated undergraduate students with analytical skills and programming experience. This internship offers hands-on experience and collaboration with senior staff in a diverse and inclusive environment.
About FM
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FM is a leading global insurer of complex businesses, providing comprehensive risk management and property insurance solutions. Our expertise in engineering-based risk management and research helps clients maintain business continuity by mitigating natural hazards.

The Climate Risk & Resilience Team at FM seeks an intern to contribute to a cutting-edge project involving tornado loss data analysis and GIS database creation.

This internship will provide the opportunity to work with senior staff and gain hands-on experience in:
• Tornado research and insurance losses
• Wind engineering and risk assessment
• Data cleaning, analysis, and visualization using ArcGIS and Python

About the Project

The project involves analyzing past tornado losses, linking these losses to known tornado events, collecting engineering information, and creating a searchable GIS database.

By the end of the internship, you will have gained valuable experience in:
• Tornado research and its applications in insurance
• Data analysis and visualization techniques
• Collaboration with senior staff and cross-functional teams

About You

We are looking for highly motivated undergraduate students with strong analytical skills, attention to detail, and experience with programming languages such as Python, R, and MATLAB. Familiarity with ArcGIS, QGIS, and GDAL is also desirable.

Apart from technical skills, we value excellent written and verbal communication skills, as well as the ability to work effectively in a team environment.

What We Offer

This is an exciting opportunity to join a world-class research team and contribute to a high-impact project that has real-world applications in the insurance industry. As a member of our team, you will have the chance to develop new skills, network with colleagues, and learn from experienced professionals.

We are committed to diversity and inclusion and welcome applications from candidates with diverse backgrounds and perspectives.